In this section, we illustrate the feasibility of the proposed quantum-inspired statistical leverage scores (QiSLS) algorithm in practice by testing on artificial datasets. The feasibility and efficiency of some other quantum-inspired algorithms has been benchmarked, such as general minimum conical hull problems, support vector machine and canonical correlation analysis in [1]}, [2]}, [3]}. Here the numerical tests are performed on a laptop with Intel Core i5 by MATLAB R2016(a) with a machine precision of \(10^{-16}\) . To show the robustness of the sampling in our QiSLS algorithm, we run 50 times repeated trials and report the mean instead of just picking one time.
